Neo4j Blog

From Data to Intelligence: Why Every Enterprise Needs an AI Knowledge Layer

The knowledge layer maps and resolves data so AI can accurately answer questions, make better decisions, and be explainable.

Visualization of how Neo4j Graph Intelligence reveals hidden patterns in massive datasets

How Graph Intelligence Drives Breakthroughs in Science and Society

iscover the best tool for context engineering and build agentic AI with MCP, knowledge graphs, GraphRAG, and practical evaluation and tracing.

Agentic AI

Best Tools for Context Engineering in Agentic AI Systems

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

Featured Voices

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most Recent

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How Graph and AI Take Us from Dashboards to Continuous Decisions

From Cafeteria Cliques to Graph Communities: Understanding the Louvain Algorithm

Neo4j Graphs, Acceleration Frameworks, and Recommendations: A Winning Trio

What is generative AI?

GenAI

What Is Generative AI?

Using Spring for GraphQL With Spring Data Neo4j

News

Neo4j in the News – Winter Edition: Neo4j Growth, Big Data, and Cybercrime

Behind the Scenes of Creating the World’s Biggest Graph Database

Learn how to fix your microservices architecture with graph analysis.

Fixing Your Microservices Architecture Using Graph Analysis

Learn about chaos engineering with Neo4j.

NODES

Chaos Engineering with Neo4j

Combating Money Laundering: Sprints with Money Queries

Learn more about connecting healthcare with graph technology.

Connecting Healthcare

Learn about demographics master data at Citigroup.

Demographics Master Data at Citigroup